analyze-stocks-india 1.0.0

A python package to download historic stock prices from NSE website and process them to find best stock to purchase

Objective

Library of functions for stock price trend prediction

Python Requirement

version >= 3.10

Packages requirement

As mentioned in requirements.txt

Folder Structure

All required library files are in directory analyze_stocks_india

Stock Files

All the downloaded files are in directory data_files –> raw All the processed data files are in directory data_files –> processed Note: After installation of library ‘data_files’ folder will not be present,

Sample Scripts

Few sample scripts have been created in sample_scripts folder for ease of understanding

Library Packages

create_plot.py –> to create plots of stock trend and trading volume download_historic_data.py –> to download data files from nse webseite and process them get_stock_moment_from_optionChain.py –> Recomends stocks using option chain data Mean_Reverser_Strategy.py –> Apply Mean Reverser Strategy and recommend stocks news_sentiment_analysis_Indian_Stocks.py –> performs a sentiment analysis on stock based on google news headline from last 7 days

Extra Information for different types of data from NSE website.

SYMBOL: Symbol of the listed company. SERIES: Series of the equity. Values are [EQ, BE, BL, BT, GC and IL] OPEN: The opening market price of the equity symbol on the date. HIGH: The highest market price of the equity symbol on the date. LOW: The lowest recorded market price of the equity symbol on the date. CLOSE: The closing recorded price of the equity symbol on the date. LAST: The last traded price of the equity symbol on the date. PREVCLOSE: The previous day closing price of the equity symbol on the date. TOTTRDQTY: Total traded quantity of the equity symbol on the date. TOTTRDVAL: Total traded volume of the equity symbol on the date. TIMESTAMP: Date of record. TOTALTRADES: Total trades executed on the day. ISIN: International Securities Identification Number.